William S. Hayes
- Co-authors
- Michael R. HarwellElaine N. RubinsteinMark BorodovskyRoman L. TatusovNigel P. BrownPeer BorkArcady MushegianKenneth E. Rudd
- Topics
- Genomics and Phylogenetic Studies (7 papers)Machine Learning in Bioinformatics (4 papers)Biomedical Text Mining and Ontologies (4 papers)
- Partner nations
- United StatesGreeceSweden
In The Last Decade
William S. Hayes
13 papers receiving 842 citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 407
- Genetics 116
- Statistics and Probability 97
- Ecology 80
- Cognitive Neuroscience 69
Countries citing papers authored by William S. Hayes
This map shows the geographic impact of William S. Hayes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William S. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Hayes more than expected).
Fields of papers citing papers by William S. Hayes
This network shows the impact of papers produced by William S. Hayes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William S. Hayes. The network helps show where William S. Hayes may publish in the future.
Co-authorship network of co-authors of William S. Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of William S. Hayes. A scholar is included among the top collaborators of William S. Hayes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William S. Hayes. William S. Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 9 | |
| 5 | Advances in text analytics for drug discovery. | 1 |
| 6 | 43 | |
| 7 | 35 | |
| 8 | 84 | |
| 9 | 14 | |
| 10 | 242 | |
| 11 | Applications of GeneMark in multispecies environments. | 7 |
| 12 | Summarizing Monte Carlo results in methodological research: The fixed effects single- and two-factor ANOVA cases | 1 |
| 13 | 76 | |
| 14 | 354 |
About William S. Hayes
William S. Hayes is a scholar working on Computer Science Applications, Management Science and Operations Research and Molecular Biology, having authored 14 papers that have together received 886 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Machine Learning in Bioinformatics (4 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Statistics and Probability (97 citations), Microbiology (37 citations) and Molecular Biology (407 citations). William S. Hayes has collaborated with scholars based in United States, Greece and Sweden. Frequent co-authors include Michael R. Harwell, Elaine N. Rubinstein, Mark Borodovsky, Roman L. Tatusov, Nigel P. Brown, Peer Bork, Arcady Mushegian, Kenneth E. Rudd, Eugene V. Koonin and Boris Lenhard. Their work appears in journals such as Nucleic Acids Research, Current Biology and Genome Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.